Data Engineer II
Efficio
Job Overview
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Job Description
About Efficio
Efficio is the world’s largest procurement consultancy, but we are transforming into a technology-first company. We are moving from "data-based" to "data-driven," building the intelligent backbone that will power our new GenAI and LLM products.
The Role: Data Engineer II
As a Data Engineer II on the Product Team, you won't just be running reports. You will be building the code that ingests, cleans, and delivers high-quality data to our AI models. This is a role for an engineer who wants to move beyond "scripts" and learn how to build robust, scalable software platforms.
Our Engineering Culture
We operate with a DataOps mindset, focusing on automation, observability, and reliability. We don't just "hand off" code to DevOps; we own our pipelines. We invest significantly in your growth, offering sponsorship for AWS Certifications and mentorship from our Principal Architects to help you master Infrastructure-as-Code.
Key Responsibilities
- Collaborate on the design of scalable cloud infrastructure, utilizing Terraform to provision AWS resources (ECS, Lambda, S3) with a focus on resilience and reproducibility.
- Build high-performance, maintainable Python applications characterized by strict dependency management, comprehensive error handling, and high test coverage.
- Own the complete data journey: from ingestion to consumption; designing the API layers and backbones required to integrate GenAI into production.
What We Look For
- 2–5 years of hands-on experience in Data Engineering or Backend Software Engineering.
- You are comfortable writing Python functions, handling JSON/API data, and using libraries like Pandas/PyArrow. You understand the difference between a "script" and a "software module".
- Experience with SQL and an understanding of how databases work (Primary Keys, Joins, Data Types).
- You prefer writing code over using drag-and-drop ETL tools.
- You are eager to learn DataOps practices (Docker, Git, CI/CD).
Nice to Have
- Experience with AWS (or equivalent cloud providers) and familiarity with IaC concepts (like Terraform) and a willingness to adopt these patterns is essential.
- Experience deploying LLMs or working with RAG architectures.
- Experience with FastAPI or building data-serving APIs.
- Background in SRE or DevOps.
Hiring Process Note
Efficio may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills/Competency
- Data Engineering
- Python Development
- Cloud Computing (AWS)
- Infrastructure-as-Code (Terraform)
- SQL & Database Management
- DataOps Principles
- API Design & Development
- ETL Pipeline Construction
- GenAI/LLM Integration
- Scalable Software Architecture
How to Get Hired at Efficio
- Research Efficio's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight Python, AWS, data engineering, and scalable software experience.
- Showcase DataOps skills: Emphasize automation, observability, CI/CD, and IaC principles relevant to Efficio's engineering mindset.
- Prepare for technical depth: Be ready to discuss Python development, SQL, cloud infrastructure (AWS/Terraform), and robust API creation.
- Highlight AI/ML interest: Demonstrate enthusiasm for Efficio's GenAI/LLM products, including any relevant project experience.
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